{"id":"https://openalex.org/W4389665951","doi":"https://doi.org/10.1109/iros55552.2023.10342203","title":"Quantized Distillation: Optimizing Driver Activity Recognition Models for Resource-Constrained Environments","display_name":"Quantized Distillation: Optimizing Driver Activity Recognition Models for Resource-Constrained Environments","publication_year":2023,"publication_date":"2023-10-01","ids":{"openalex":"https://openalex.org/W4389665951","doi":"https://doi.org/10.1109/iros55552.2023.10342203"},"language":"en","primary_location":{"id":"doi:10.1109/iros55552.2023.10342203","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iros55552.2023.10342203","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5093257148","display_name":"Calvin Tanama","orcid":null},"institutions":[{"id":"https://openalex.org/I102335020","display_name":"Karlsruhe Institute of Technology","ror":"https://ror.org/04t3en479","country_code":"DE","type":"education","lineage":["https://openalex.org/I102335020","https://openalex.org/I1305996414"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Calvin Tanama","raw_affiliation_strings":["Institute for Anthropomatics and Robotics, Karlsruhe Institute of Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute for Anthropomatics and Robotics, Karlsruhe Institute of Technology","institution_ids":["https://openalex.org/I102335020"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017521271","display_name":"Kunyu Peng","orcid":"https://orcid.org/0000-0002-5419-9292"},"institutions":[{"id":"https://openalex.org/I102335020","display_name":"Karlsruhe Institute of Technology","ror":"https://ror.org/04t3en479","country_code":"DE","type":"education","lineage":["https://openalex.org/I102335020","https://openalex.org/I1305996414"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Kunyu Peng","raw_affiliation_strings":["Institute for Anthropomatics and Robotics, Karlsruhe Institute of Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute for Anthropomatics and Robotics, Karlsruhe Institute of Technology","institution_ids":["https://openalex.org/I102335020"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079221964","display_name":"Zdravko Marinov","orcid":"https://orcid.org/0000-0003-0373-3958"},"institutions":[{"id":"https://openalex.org/I102335020","display_name":"Karlsruhe Institute of Technology","ror":"https://ror.org/04t3en479","country_code":"DE","type":"education","lineage":["https://openalex.org/I102335020","https://openalex.org/I1305996414"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Zdravko Marinov","raw_affiliation_strings":["Institute for Anthropomatics and Robotics, Karlsruhe Institute of Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute for Anthropomatics and Robotics, Karlsruhe Institute of Technology","institution_ids":["https://openalex.org/I102335020"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087051920","display_name":"Rainer Stiefelhagen","orcid":"https://orcid.org/0000-0001-8046-4945"},"institutions":[{"id":"https://openalex.org/I102335020","display_name":"Karlsruhe Institute of Technology","ror":"https://ror.org/04t3en479","country_code":"DE","type":"education","lineage":["https://openalex.org/I102335020","https://openalex.org/I1305996414"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Rainer Stiefelhagen","raw_affiliation_strings":["Institute for Anthropomatics and Robotics, Karlsruhe Institute of Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute for Anthropomatics and Robotics, Karlsruhe Institute of Technology","institution_ids":["https://openalex.org/I102335020"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5076927137","display_name":"Alina Roitberg","orcid":"https://orcid.org/0000-0003-4724-9164"},"institutions":[{"id":"https://openalex.org/I100066346","display_name":"University of Stuttgart","ror":"https://ror.org/04vnq7t77","country_code":"DE","type":"education","lineage":["https://openalex.org/I100066346"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Alina Roitberg","raw_affiliation_strings":["Institute for Artificial Intelligence, University of Stuttgart"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute for Artificial Intelligence, University of Stuttgart","institution_ids":["https://openalex.org/I100066346"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"5479","last_page":"5486"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9965000152587891,"subfield":{"id":"https://openalex.org/subfields/2203","display_name":"Automotive Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9962999820709229,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7931456565856934},{"id":"https://openalex.org/keywords/quantization","display_name":"Quantization (signal processing)","score":0.7671688199043274},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.7119040489196777},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.6856282353401184},{"id":"https://openalex.org/keywords/distillation","display_name":"Distillation","score":0.6533874273300171},{"id":"https://openalex.org/keywords/reduction","display_name":"Reduction (mathematics)","score":0.49983668327331543},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.43223142623901367},{"id":"https://openalex.org/keywords/architecture","display_name":"Architecture","score":0.42783159017562866},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4235842227935791},{"id":"https://openalex.org/keywords/ground-truth","display_name":"Ground truth","score":0.4107225835323334},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3995285928249359},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.17980897426605225}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7931456565856934},{"id":"https://openalex.org/C28855332","wikidata":"https://www.wikidata.org/wiki/Q198099","display_name":"Quantization (signal processing)","level":2,"score":0.7671688199043274},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.7119040489196777},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.6856282353401184},{"id":"https://openalex.org/C204030448","wikidata":"https://www.wikidata.org/wiki/Q101017","display_name":"Distillation","level":2,"score":0.6533874273300171},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.49983668327331543},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.43223142623901367},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.42783159017562866},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4235842227935791},{"id":"https://openalex.org/C146849305","wikidata":"https://www.wikidata.org/wiki/Q370766","display_name":"Ground truth","level":2,"score":0.4107225835323334},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3995285928249359},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.17980897426605225},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"id":"https://openalex.org/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iros55552.2023.10342203","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iros55552.2023.10342203","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":77,"referenced_works":["https://openalex.org/W1724438581","https://openalex.org/W1821462560","https://openalex.org/W1902934009","https://openalex.org/W1945120929","https://openalex.org/W2089192129","https://openalex.org/W2119144962","https://openalex.org/W2120972216","https://openalex.org/W2125389748","https://openalex.org/W2126182229","https://openalex.org/W2152264487","https://openalex.org/W2233116163","https://openalex.org/W2289252105","https://openalex.org/W2300242332","https://openalex.org/W2469356268","https://openalex.org/W2783538964","https://openalex.org/W2916954108","https://openalex.org/W2963122961","https://openalex.org/W2963524571","https://openalex.org/W2963692464","https://openalex.org/W2981548405","https://openalex.org/W3080348805","https://openalex.org/W3114110700","https://openalex.org/W3118280765","https://openalex.org/W3128640141","https://openalex.org/W3132036762","https://openalex.org/W3147532979","https://openalex.org/W3161659397","https://openalex.org/W3164388989","https://openalex.org/W3208354284","https://openalex.org/W4221148635","https://openalex.org/W4221159612","https://openalex.org/W4221167590","https://openalex.org/W4223440121","https://openalex.org/W4223937247","https://openalex.org/W4225857786","https://openalex.org/W4226051636","https://openalex.org/W4226373160","https://openalex.org/W4283219972","https://openalex.org/W4283324004","https://openalex.org/W4285601701","https://openalex.org/W4285813080","https://openalex.org/W4289600407","https://openalex.org/W4291910391","https://openalex.org/W4292828577","https://openalex.org/W4297775537","https://openalex.org/W4306178406","https://openalex.org/W4306816340","https://openalex.org/W4308083739","https://openalex.org/W4312263904","https://openalex.org/W4312620624","https://openalex.org/W4312677967","https://openalex.org/W4312690709","https://openalex.org/W4313069943","https://openalex.org/W4313144836","https://openalex.org/W4313187582","https://openalex.org/W4320036929","https://openalex.org/W4378902066","https://openalex.org/W6637709462","https://openalex.org/W6638523607","https://openalex.org/W6639703010","https://openalex.org/W6677580257","https://openalex.org/W6678000929","https://openalex.org/W6678583879","https://openalex.org/W6689694917","https://openalex.org/W6692521979","https://openalex.org/W6737664043","https://openalex.org/W6760069825","https://openalex.org/W6774302960","https://openalex.org/W6788597507","https://openalex.org/W6810045202","https://openalex.org/W6810281471","https://openalex.org/W6810525401","https://openalex.org/W6810983866","https://openalex.org/W6839364850","https://openalex.org/W6839802452","https://openalex.org/W6841524142","https://openalex.org/W6846178575"],"related_works":["https://openalex.org/W4295532600","https://openalex.org/W2063823869","https://openalex.org/W2047973478","https://openalex.org/W2067569035","https://openalex.org/W2090985514","https://openalex.org/W2113666009","https://openalex.org/W2055243143","https://openalex.org/W2145649715","https://openalex.org/W3026162553","https://openalex.org/W3195209712"],"abstract_inverted_index":{"Deep":[0],"learning-based":[1],"models":[2],"are":[3,27],"at":[4,168],"the":[5,25,62,84,102,110,117],"top":[6],"of":[7,100],"most":[8],"driver":[9,43],"observation":[10],"benchmarks":[11],"due":[12],"to":[13,144,159],"their":[14],"remarkable":[15],"accuracies":[16],"but":[17],"come":[18],"with":[19,57],"a":[20,37,50,91,129],"high":[21],"computational":[22,68],"cost,":[23],"while":[24],"resources":[26],"often":[28],"limited":[29],"in":[30,80,149,155],"real-world":[31],"driving":[32,137],"scenarios.":[33],"This":[34],"paper":[35],"presents":[36],"lightweight":[38],"framework":[39,142],"for":[40,54,60,132],"resource-":[41],"efficient":[42],"activity":[44],"recognition.":[45],"We":[46],"enhance":[47],"3D":[48],"MobileNet,":[49],"speed-optimized":[51,162],"neural":[52],"architecture":[53],"video":[55],"classification,":[56],"two":[58],"paradigms":[59],"improving":[61],"trade-off":[63],"between":[64],"model":[65,73,85,94,118,150],"accuracy":[66,81],"and":[67,72,112,120,152],"efficiency:":[69],"knowledge":[70,89],"distillation":[71,76],"quantization.":[74],"Knowledge":[75],"prevents":[77],"large":[78,92],"drops":[79],"when":[82],"reducing":[83],"size":[86,151],"by":[87,115],"harvesting":[88],"from":[90],"teacher":[93],"(I3D)":[95],"via":[96],"soft":[97],"labels":[98],"instead":[99],"using":[101,122],"original":[103],"ground":[104],"truth.":[105],"Quantization":[106],"further":[107],"drastically":[108],"reduces":[109],"memory":[111],"computation":[113],"requirements":[114],"representing":[116],"weights":[119],"activations":[121],"lower":[123],"precision":[124],"integers.":[125],"Extensive":[126],"experiments":[127],"on":[128],"public":[130],"dataset":[131],"in-vehicle":[133],"monitoring":[134],"during":[135],"autonomous":[136],"show":[138],"that":[139],"our":[140],"proposed":[141],"leads":[143],"an":[145,160],"3-":[146],"fold":[147],"reduction":[148],"1.4-fold":[153],"improvement":[154],"inference":[156],"time":[157],"compared":[158],"already":[161],"architecture.":[163],"Our":[164],"code":[165],"is":[166],"available":[167],"https://github.com/calvintanama/qd-driver-activity-reco.":[169]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}